Triple
T274234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nebraska State Capitol design (initial design and plan) |
E5211
|
entity |
| Predicate | competitionResult |
P8651
|
FINISHED |
| Object | winning entry |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: winning entry | Statement: [Nebraska State Capitol design (initial design and plan), competitionResult, winning entry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionResult Context triple: [Nebraska State Capitol design (initial design and plan), competitionResult, winning entry]
-
A.
competition
Indicates a relationship where two or more entities strive against each other to achieve a superior outcome, advantage, or reward.
-
B.
competitionStage
Indicates the specific phase or round within a broader competition in which the related entities participate or are situated.
-
C.
competitionFormat
Indicates the specific structure or ruleset under which a competition is organized and conducted.
-
D.
typeOfCompetition
Indicates the specific kind or category of competition in which an entity participates or is involved.
-
E.
competitionLevel
Indicates the degree or intensity of competitive pressure or rivalry present in a given context or interaction.
- F. None of above. chosen
Provenance (4 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a257e6c8788190987dfe705ca2912a |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25dd0a99c819089968a5400c58c5f |
completed | Feb. 28, 2026, 3:15 a.m. |
| PD | Predicate disambiguation | batch_69a25b7345c4819086c21710864a1b42 |
completed | Feb. 28, 2026, 3:05 a.m. |
| PDg | Predicate description generation | batch_69a25c036b54819090a101c4cbdbcff7 |
completed | Feb. 28, 2026, 3:07 a.m. |
Created at: Feb. 28, 2026, 2:59 a.m.